Project Grant 2406028
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $439,954 to Michigan State University (MSU) to develop advanced computational models of the heart that leverage machine learning and artificial intelligence. The goal is to create a multiscale modeling framework that can predict structural and functional changes in the heart due to disease conditions like pathological fibrosis. The...
- This $200,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will fund the development of advanced computational methods to create high-fidelity, fast-running digital twins of patient hearts and cardiovascular medical devices. The project aims to deliver: 1) novel machine learning algorithms for accurate digital twin geometry reconstruction from 3D medical images, 2) an efficient inverse method to identify in vivo...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) provides $640,562 to Duke University to develop advanced computer models that act as "virtual replicas" of a patient's blood vessels and heart activity. Using data from wearable sensors, the investigators will simulate how blood flows and interacts with vessel walls over time, enabling large-scale in silico testing of medical devices and therapies without...
- The National Science Foundation (NSF) awarded a $361,979 Project Grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to Cornell University to develop computational cyberinfrastructure for data-enabled forward and inverse stochastic cardiovascular modeling. The project aims to establish a novel paradigm of data-augmented cardiovascular fluid-structure simulations to help transform personalized cardiovascular diagnostics and therapeutics....
- The National Science Foundation awarded a $279,606 Project Grant to the University of California Irvine under the Engineering federal grant program (CFDA 47.041). The grant supports collaborative research to develop multiscale computational models characterizing how heart muscle cells adapt mechanically to changes in load conditions. Through experimental measurement and multi-scale modeling, the university researchers will elucidate the acute functional response and long-term remodeling response...
- This $262,138 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research at the University of Houston to investigate the mechanisms of cardiac fibrosis, a type of scarring in the heart that leads to impaired function. The key objectives are to: 1) determine the role of the endothelial-mesenchymal transition in cardiac fibrosis, and 2) develop a 3D cardiac fibrosis model to study tissue remodeling. The research will leverage a...
- The National Science Foundation awarded a $542,441 Project Grant to the Texas A&M Engineering Experiment Station to develop a validated hybrid echocardiography-computational fluid dynamics framework for patient-specific cardiac assessment under the Engineering (47.041) federal grant program. The project aims to create a computational pipeline using standard echocardiography scans to model cardiac flow and function, and compute in vivo mechanical and electrophysiological properties for...
- This National Science Foundation (NSF) Engineering (CFDA 47.041) program grant, in the amount of $400,000, supports the development of a tissue-like, converged sensing platform for tracking excitation-contraction dynamics in cardiac organoids. The project aims to: Develop a scalable assembly strategy to fabricate an array of three-dimensional sensor structures using planar semiconducting graphene material, designed to detect both electrical and mechanical stimuli. Evaluate the multifunctional...
- This $240,000 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting research at Yale University to develop new computational frameworks that combine large language models with neural operator learning techniques. The goal is to improve the ability to model and analyze spatiotemporal phenomena in biomedical research, such as tracking cellular and brain processes over time and...
- The National Science Foundation awarded a $450,000 Project Grant to the George Washington University under the Engineering federal grant program (CFDA 47.041) to develop scalable heart-on-a-chip platforms. Over a three-year period from April 2022 through March 2025, the University will create automated systems integrating human heart slice culture components with sensor and actuator arrays. This will enable continuous on-chip multiparametric analysis of human cardiac physiology at the cellular...
This $760,046 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a computationally-efficient multiscale modeling framework that integrates machine learning and artificial intelligence to predict structural and functional changes in the heart due to disease progression. The project aims to build fundamental understanding of heart disease by combining techniques from engineering, computer science, applied mathematics, and physiology. Key developments include creating a multiscale finite element framework that couples network models, agent-based models, and timescale separation schemes to define two-way interactions between system-level biology and molecular mechanisms. Additionally, the project will develop physics-informed neural networks to provide rapid calculations of these complex cardiac interactions. The computational toolkit is expected to enable a deeper understanding of how microstructural tissue changes affect overall heart function and the impacts of potential therapies. This award reflects NSF's mission to advance scientific discovery and technological innovation with potential societal benefits, particularly in the domain of cardiovascular disease - the leading cause of death in the United States.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $760.0k | 7/5/24 |